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Implementation of dynamic page generation for stream data by SuperSQL

Published:25 August 2020Publication History

ABSTRACT

SuperSQL is an extension of SQL that allows you to structure the output of relational databases by writing your own queries and to express various layouts. However, this method is not suitable for data with high update frequency, such as stream data, because the information in the database refers to the data at the time of SuperSQL execution. In this study, we propose an implementation of a web page generation function that asynchronously updates a web page with the latest information for frequently updated data, using PipelineDB and SuperSQL, both of which are DBMSs capable of processing streams. You can specify the dynamic part of the stream by specifying the stream in the "decorator" which is a feature of SuperSQL. At the same time, you can specify "pull" and "push" in the stream decorator to select how the dynamic part is updated. This makes it possible to create a web page that displays the latest stock prices at any time in a page that displays a list of stock prices.

References

  1. SuperSQL: http://ssql.db.ics.keio.ac.jp/Google ScholarGoogle Scholar
  2. M. Toyama: "SuperSQL: An Extended SQL for Database Publishing and Presentation", Proceedings of ACM SIGMOD'98 International Conference on Management of Data, pp.584--586, 1998.Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Toshiyuki Seto, Takuhiro Nagafuji and Motomichi Toyama. Generating HTML Sources with TFE Enhanced SQL, In ACM Symposium on Applied Computing, pp.96--100, 1997.Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. K. Goto and M. Toyama, "Mobile Web Application Generation Features For SuperSQL", in Proceedings of the 20th International Database Engineering & Applications Symposium, IDEAS 2016, pp. 308--315, 2016.Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. PipelineDB: https://www.pipelinedb.com/Google ScholarGoogle Scholar
  6. Jay Kreps, Neha Narkhede, and Jun Rao. Kafka: a distributed messaging system for log processing. ACM SIGMOD Workshop on Networking Meets Databases. page 6. 2011.Google ScholarGoogle Scholar
  7. Spark Streaming: https://spark.apache.org/streaming/Google ScholarGoogle Scholar
  8. Amazon Kinesis: http://aws.amazon.com/kinesis/Google ScholarGoogle Scholar

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  1. Implementation of dynamic page generation for stream data by SuperSQL

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    • Published in

      cover image ACM Other conferences
      IDEAS '20: Proceedings of the 24th Symposium on International Database Engineering & Applications
      August 2020
      252 pages
      ISBN:9781450375030
      DOI:10.1145/3410566

      Copyright © 2020 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 25 August 2020

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      • research-article

      Acceptance Rates

      IDEAS '20 Paper Acceptance Rate27of57submissions,47%Overall Acceptance Rate74of210submissions,35%
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